import { YandexGPTInputs } from "./llms.js";
import { BaseMessage } from "@langchain/core/messages";
import { BaseChatModel } from "@langchain/core/language_models/chat_models";
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import { ChatResult } from "@langchain/core/outputs";

//#region src/chat_models.d.ts
/**
 * @example
 * ```typescript
 * const chat = new ChatYandexGPT({});
 * // The assistant is set to translate English to French.
 * const res = await chat.invoke([
 *   new SystemMessage(
 *     "You are a helpful assistant that translates English to French."
 *   ),
 *   new HumanMessage("I love programming."),
 * ]);
 * ```
 */
declare class ChatYandexGPT extends BaseChatModel {
  apiKey?: string;
  iamToken?: string;
  temperature: number;
  maxTokens: number;
  model: string;
  modelVersion: string;
  modelURI?: string;
  folderID?: string;
  constructor(model: string, fields?: Omit<YandexGPTInputs, "model">);
  constructor(fields?: YandexGPTInputs);
  _llmType(): string;
  _combineLLMOutput?(): {};
  get lc_secrets(): {
    [key: string]: string;
  } | undefined;
  /** @ignore */
  _generate(messages: BaseMessage[], options: this["ParsedCallOptions"], _runManager?: CallbackManagerForLLMRun | undefined): Promise<ChatResult>;
}
//#endregion
export { ChatYandexGPT };
//# sourceMappingURL=chat_models.d.ts.map